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Texture Classification

Texture Classification is a fundamental issue in computer vision and image processing, playing a significant role in many applications such as medical image analysis, remote sensing, object recognition, document analysis, environment modeling, content-based image retrieval and many more.

Source: Improving Texture Categorization with Biologically Inspired Filtering

Papers

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Showing 26–50 of 206 papers

TitleStatusHype
Lacunarity Pooling Layers for Plant Image Classification using Texture AnalysisCode0
StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction—0
Compositional Neural Textures—0
Texture Classification Network Integrating Adaptive Wavelet Transform—0
Grey Level Co-occurrence Matrix (GLCM) Based Second Order Statistics for Image Texture Analysis—0
Latent space configuration for improved generalization in supervised autoencoder neural networks—0
Riesz feature representation: scale equivariant scattering network for classification tasks—0
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5—0
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation—0
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients—0
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks—0
Neutrosophic set based local binary pattern for texture classification—0
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction—0
Automated Identification of Tree Species by Bark Texture Classification Using Convolutional Neural Networks—0
Texture image analysis based on joint of multi directions GLCM and local ternary patterns—0
Multilayer deep feature extraction for visual texture recognition—0
Texture features in medical image analysis: a survey—0
Large-Margin Representation Learning for Texture Classification—0
Unsupervised Learning of the Total Variation FlowCode0
Can autism be diagnosed with AI?—0
2-d signature of images and texture classification—0
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain ImagesCode0
Multiscale Analysis for Improving Texture Classification—0
Automated Surface Texture Analysis via Discrete Cosine Transform and Discrete Wavelet Transform—0
Segmentation of Lung Tumor from CT Images using Deep Supervision—0
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